To illustrate how smooth general capability scaling (discussed in Section REF ) may correlate with task performance and forecast economic value, we perform a small original experiment where we analyze the relationship between scale and capabilities for GPT-3-like language models [1]} to be used as recommendation systems with zero-shot learning. We choose a recommendation system example because these systems have tangible economic relevance and societal impact.
